Mining social networks : uncovering interaction patterns in business processes

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181 Citations (Scopus)
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Increasingly information systems log historic information in a systematic way. Workflow management systems, but also ERP, CRM, SCM, and B2B systems often provide a so-called event log, i.e., a log recording the execution of activities. Unfortunately, the information in these event logs is rarely used to analyze the underlying processes. Process mining aims at improving this by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs. This paper focuses on the mining social networks. This is possible because event logs typically record information about the users executing the activities recorded in the log. To do this we combine concepts from workflow management and social network analysis. This paper introduces the approach, defines metrics, and presents a tool to mine social networks from event logs.
Original languageEnglish
Title of host publicationBusiness Process Management: Second International Conference, BPM 2004, Potsdam, Germany, June 17-18
EditorsJ. Desel, B. Pernici, M. Weske
Place of PublicationBerlin
ISBN (Print)3-540-22235-9
Publication statusPublished - 2004
Event2nd International Conference on Business Process Management (BPM 2004) - Potsdam, Germany
Duration: 17 Jun 200418 Jun 2004
Conference number: 2

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conference2nd International Conference on Business Process Management (BPM 2004)
Abbreviated titleBPM 2004


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